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Sentiment Classification of Food Reviews

09/07/2016

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by Hua Feng, et al.

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Sentiment analysis of reviews is a popular task in natural language processing. In this work, the goal is to predict the score of food reviews on a scale of 1 to 5 with two recurrent neural networks that are carefully tuned. As for baseline, we train a simple RNN for classification. Then we extend the baseline to GRU. In addition, we present two different methods to deal with highly skewed data, which is a common problem for reviews. Models are evaluated using accuracies.

Hua Feng
5 publications
Ruixi Lin
7 publications

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